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DBMS > Amazon CloudSearch vs. EsgynDB vs. TinkerGraph

System Properties Comparison Amazon CloudSearch vs. EsgynDB vs. TinkerGraph

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelSearch engineRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.54
Rank#121  Overall
#11  Search engines
Score0.19
Rank#326  Overall
#144  Relational DBMS
Score0.40
Rank#283  Overall
#24  Graph DBMS
Websiteaws.amazon.com/­cloudsearchwww.esgyn.cntinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.aws.amazon.com/­cloudsearch
DeveloperAmazonEsgyn
Initial release201220152009
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJava
Server operating systemshostedLinux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyes infoall search fields are automatically indexedyesno
SQL infoSupport of SQLnoyesno
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
TinkerPop 3
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetGroovy
Java
Server-side scripts infoStored proceduresnoJava Stored Proceduresno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication between multi datacentersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesno
Durability infoSupport for making data persistentyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardno

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More resources
Amazon CloudSearchEsgynDBTinkerGraph
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

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4 February 2013, Paul Andlinger

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